Relational databases have long been the preferred technology for storing, retrieving, and querying data. They enable users to organize information using a structured, well-defined set of patterns (models). While this approach is highly effective for standardized data that is understood in advance (for instance, a hospital check-in application managing patient records with consistent pre-defined fields such as patient ID, first name, last name, and date of the last visit), it has certain limitations. For organizations dealing with undefined incoming data (such as an online inquiry form for a startup experimenting with different fields to collect visitor data, constantly adding or removing fields to adapt to the evolving business needs), any established definitions for how data fits into an existing database would need frequent re-definition. This would require recreating the data model (schema) that dictates the structure and allowed data types to support various data inputs before any new data could be saved to the database.
Enter NoSQL (Not Only SQL) databases. NoSQL databases free users from the need to predefine the structure of incoming data, allowing them to insert and update new data on the fly. NoSQL databases are often faster than relational databases and can handle very large amounts of data with ease. They also scale better than relational databases due to their ability to efficiently partition data across many servers (clusters) and load balance access to this data. NoSQL databases integrate particularly well with applications that support real-time analytics, site personalization, IoT, and mobile apps.
In this instructor-led, live training, participants will understand the architecture, design principles, and functionality of the most popular NoSQL databases as they set up, operate, and assess a number of NoSQL databases in a live lab environment. The goal of this training is to enable participants to intelligently evaluate, propose, and implement a suitable NoSQL database solution within their organization.
By the end of this training, participants will be able to:
- Install and configure different types of NoSQL databases, including MongoDB, Cassandra, Redis, and Neo4j.
- Understand the benefits and disadvantages of NoSQL databases compared to relational databases.
- Understand the underlying data formats used by NoSQL databases and how these formats can be used to an advantage when developing modern applications (desktop, mobile, cloud, IoT).
- Perform create, insert, update, delete operations in a NoSQL database.
- Set up a mixed environment with both a relational database and NoSQL working in tandem.
- Configure a cluster of NoSQL databases to distribute the processing of very large datasets.
- Understand the security implications of using a NoSQL database.
- Deploy and scale a NoSQL database in a production environment.
Audience
- Database professionals.
- Data architects.
- Data strategists.
- Project managers.
- Application developers wishing to integrate a flexible database solution in their application.
Format of the Course
- Part lecture, part discussion, exercises, and heavy hands-on practice.
Note
- To request a customized training for this course, please contact us to arrange.
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